A Study of Land Surface Albedo Conversion Formulas Using Three-Dimensional Canopy Radiative Transfer Modeling. - Jennifer Adams; Nadine Gobron; Corrado Mio (IEEE Geosci. Remote. Sens. Lett., 2016)

K-Means Clustering in Dual Space for Unsupervised Feature Partitioning in Multi-view Learning. - Corrado Mio; Gabriele Gianini; Ernesto Damiani (SITIS, 2018)

Signal reconstruction by means of Embedding, Clustering and AutoEncoder Ensembles. - Corrado Mio; Gabriele Gianini (ISCC, 2019)

Gradient attenuation as an emergent property of reset-based Retinex models. - Gabriele Gianini; Corrado Mio; Leopold Ghemmogne Fossi; Alessandro Rizzi (MEDES, 2019)

Using AutoEncoders for Radio Signal Denoising. - Ebtesam Almazrouei; Gabriele Gianini; Corrado Mio; Nawaf I. Almoosa; Ernesto Damiani (Q2SWinet, 2019)

A Watermark Inspection Game for IoT Settings. - Gabriele Gianini; Corrado Mio; Leopold Ghemmogne Fossi; Elöd Egyed-Zsigmond (SERVICES, 2019)

Glare removal as an ill-conditioned problem. - Gabriele Gianini; Cristian Bonanomi; Corrado Mio; Marco Anisetti; Alessandro Rizzi (J. Electronic Imaging, 2019)

Selection of Information Streams in Social Sensing: an Interdependence- and Cost-aware Ranking Method. - Gabriele Gianini; Corrado Mio; Francesco Viola; Jianyi Lin; Nawaf I. Almoosa (MEDES, 2020)

A Vertex-centric Markov Chain Algorithm for Network Clustering based on b-Coloring. - Jianyi Lin; Corrado Mio (Q2SWinet, 2020)

Managing a pool of rules for credit card fraud detection by a Game Theory based approach. - Gabriele Gianini; Leopold Ghemmogne Fossi; Corrado Mio; Olivier Caelen; Lionel Brunie; Ernesto Damiani (Future Gener. Comput. Syst., 2020)

A power index based frameworkfor feature selection problems. - Corrado Mio (2020)

Set-Based Counterfactuals in Partial Classification. - Gabriele Gianini; Jianyi Lin; Corrado Mio; Ernesto Damiani (IPMU (2), 2022)

Retinex by Autoencoders. - Claudio Pezzoni; Corrado Mio; Annalisa Barsotti; Gabriele Gianini (SITIS, 2022)

Strengthening Food Security: A Comparison of Food Import Forecasting Models. - Corrado Mio; Siddhartha Shakya; Himadri Sikhar Khargharia; Dymitr Ruta; Subey Dengur; Aysha Ali Saif Al Shamisi; Asma Alawneh (BDCAT, 2023)

Heterogeneous Transfer Learning from a Partial Information Decomposition Perspective. - Gabriele Gianini; Annalisa Barsotti; Corrado Mio; Jianyi Lin (MEDES, 2023)

Unusual Invoice Detection Using a Permutation Based Genetic Algorithm. - Fatmah Khalfan Alantali; Corrado Mio; Siddhartha Shakya; Alia Abdulaziz Ali Abdulla Aljasmi; Huda Saleh Mohammed Goian; Ahoud Saif (BDCAT, 2024)

A Comparison of Advanced Machine Learning Models for Food Import Forecasting. - Corrado Mio; Siddhartha Shakya (IJCCI, 2024)

Leonardo vindicated: Pythagorean trees for minimal reconstruction of the natural branching structures. - Dymitr Ruta; Corrado Mio; Ernesto Damiani (CoRR, 2024)

A Decade of Churn Prediction Techniques in the TelCo Domain: A Survey. - Annalisa Barsotti; Gabriele Gianini; Corrado Mio; Jianyi Lin; Himanshi Babbar; Aman Singh; Fatma Taher; Ernesto Damiani (SN Comput. Sci., 2024)

Supervised Ensemble-based Causal DAG Selection. - Corrado Mio; Jianyi Lin; Ernesto Damiani; Gabriele Gianini (SAC, 2025)